# Data Engineer II

**Company**: Electronic Arts
**Location**: Hyderabad, Telangana
**Work arrangement**: onsite
**Experience**: mid
**Job type**: full-time
**Category**: Engineering
**Industry**: Technology
**Ticker**: EA
**Wikidata**: https://www.wikidata.org/wiki/Q173941

**Apply**: https://jobs.ea.com/fi_FI/careers/JobDetail/Data-Engineer-II/215911?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_d2183717-618

## Description

Electronic Arts creates next-level entertainment experiences that inspire players and fans around the world. Here, everyone is part of the story, part of a community that connects people all over the world, where creativity thrives, new perspectives are welcome, and ideas matter.

As a Data & AI Engineer, you will be responsible for designing and delivering foundational data services, pipelines, and analytics systems that give visibility into our most important and critical systems - helping gamers to play at scale and having an impact across hundreds of games and millions of gamers. You will also build and leverage AI agents and LLM-powered workflows to automate data engineering operations, enforce data quality, and deliver actionable insights through clear visualizations.

In your role, you will:

- Collaborate with product, program, and project management to ensure clarity and understanding of features and priorities.

- Build and maintain pipelines and ingest operational data and metrics from across EA's infrastructure.

- Map existing data sources with physical and logical architectures to provide service hosting details and infrastructure insights.

- Design and deploy AI agentic workflows to automate repetitive data engineering tasks such as schema inference, pipeline scaffolding, anomaly triage, and incident summarization.

- Integrate LLMs into operational tooling to enable natural-language querying of infrastructure metrics and automated root-cause analysis.

- Build interactive dashboards and visualizations that translate infrastructure telemetry into clear, actionable insights for engineering and leadership audiences.

The next great EA Engineer Data & AI Engineer also needs:

- Experience using database technologies such as MySQL, MongoDB, or Cassandra.

- Experience with data lakehouse architectures, storage formats (Parquet, Iceberg, Avro), and OLAP data stores/data warehouses (BigQuery/BigLake, DeltaLake, Snowflake, or Redshift).

- Experience with workflow / ETL management platforms such as Airflow.

- Experience with programming languages such as Python, Java, and/or Go.

- Public cloud provider experience (AWS, GCP, Azure).

- Experience with LLMs and agentic AI frameworks such as LangChain, LangGraph, or Google ADK.

- Hands-on experience using LLMs and agentic developer tools (e.g., Claude Code, GitHub Copilot) to accelerate the software development lifecycle (SDLC) and automate coding tasks.

- Experience with data visualization tools such as Looker, Streamlit, or Gradio.

- B.S. in Computer Science or equivalent training.

## Skills

### Required
- MySQL
- MongoDB
- Cassandra
- data lakehouse architectures
- Airflow
- Python
- Java
- Go
- AWS
- GCP
- Azure
- LLMs
- LangChain
- LangGraph
- Google ADK
- Looker
- Streamlit
- Gradio

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Source: [Apply at jobs.ea.com](https://jobs.ea.com/fi_FI/careers/JobDetail/Data-Engineer-II/215911?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)